JD Long - 3 months ago 22

R Question

I want to do a linear regression in R using the

`lm()`

Answer

Here's one way using the `lme4`

package.

```
> library(lme4)
> d <- data.frame(state=rep(c('NY', 'CA'), c(10, 10)),
+ year=rep(1:10, 2),
+ response=c(rnorm(10), rnorm(10)))
> xyplot(response ~ year, groups=state, data=d, type='l')
> fits <- lmList(response ~ year | state, data=d)
> fits
Call: lmList(formula = response ~ year | state, data = d)
Coefficients:
(Intercept) year
CA -1.34420990 0.17139963
NY 0.00196176 -0.01852429
Degrees of freedom: 20 total; 16 residual
Residual standard error: 0.8201316
```